Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Juliana Valencia Aguirre"'
Autor:
Juliana Valencia Aguirre, Andrés Marino Álvarez Meza, Genaro Daza Santacoloma, Carlos Daniel Acosta Medina, Germán Castellanos Domínguez
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 56, Pp 170-181 (2010)
Inmersión localmente lineal (LLE) es una técnica de reducción de dimensión no lineal que permite conservar la geometría local del espacio de alta dimensión, al realizar una inmersión de los datos a un espacio de baja dimensión. El algoritmo p
Externí odkaz:
https://doaj.org/article/4887462c71004093992a137ec1ffc94c
Autor:
Juliana Valencia Aguirre, Andrés Marino Álvarez Meza, Genaro Daza Santacoloma, Carlos Daniel Acosta Medina, Germán Castellanos Domínguez
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 56 (2013)
Locally Linear Embedding (LLE) is a nonlinear dimensionality reduction technique, which preserves the local geometry of high dimensional space performing an embedding to low dimensional space. LLE algorithm has 3 free parameters that must be set to c
Externí odkaz:
https://doaj.org/article/72cdb9aae9bb4b0089e4e157bfe36908
Publikováno v:
Revista Politécnica, Vol 17, Iss 34, Pp 170-180 (2021)
Clasificar el movimiento humano se ha convertido en una necesidad tecnológica, en donde para definir la posición de un sujeto requiere identificar el recorrido de las extremidades y el tronco del cuerpo, y tener la capacidad de diferenciar esta pos
Externí odkaz:
https://doaj.org/article/efe12c16e4ec49a1b6d72ced36f8625e
Autor:
Juliana Valencia-Aguirre, Genaro Daza-Santacoloma, Carlos D. Acosta, Germán Castellanos-Domínguez
Publikováno v:
TecnoLógicas, Vol 0, Iss 25, Pp 131-150 (2010)
In this paper, a comparison of methods for nonlinear dimensionality reduction is proposed in order to determine which technique preserves better the local properties, without losing the overall structure of the original data. We seek to establish whi
Externí odkaz:
https://doaj.org/article/a6ad126c1e9b4a6187678118fc81925e
Autor:
Juliana Valencia-Aguirre, Andrés M. Álvarez-Mesa, Genaro Daza-Santacoloma, Germán Castellanos-Domínguez
Publikováno v:
TecnoLógicas, Vol 0, Iss 22, Pp 29-42 (2009)
Usually, in pattern recognition problems we represent the observations by mean of measures on appropriate variables of data set, these measures can be categorized as Static and Dynamic Features. Static features are not always an accurate representati
Externí odkaz:
https://doaj.org/article/29602c39d27c4c0591270e5397d3b394
Publikováno v:
IEEE Latin America Transactions. 17:1418-1423
There are many methods to perform distance measurement, among them the reflexive optical sensors, which are low cost but present some issues such as nonlinear response, limited operating ranges and the measurement shows sensitivity to infrared or vis
Publikováno v:
Energy and Buildings. 199:579-587
Light is one of the most important elements for residential and work spaces, which affects visual performance, comfort, productivity and well-being. The measures that quantify the characteristics of a light source are derived directly from the spectr
Autor:
Jesús Francisco Vargas-Bonilla, Juan Botero-Valencia, A. Gallardo-del Angel, David Marquez-Viloria, Juliana Valencia-Aguirre
Publikováno v:
International Journal on Smart Sensing and Intelligent Systems, Vol 11, Iss 1 (2018)
Digital cameras are photodetector arrays that respond to particular bands of the electromagnetic spectrum, and specifically those in the visible spectrum between 380 and 780 nm are the most commonly used. The main cameras function is store the image
Publikováno v:
HardwareX, Vol 9, Iss, Pp e00173-(2021)
Color and lighting quality assessment allow users to reliably examine the quality of light sources and the changes in the lighting conditions. Technological advance has led to an increase in the development of intelligent systems that are permanently
Autor:
Genaro Daza-Santacoloma, Germán Castellanos-Domínguez, Juliana Valencia-Aguirre, Carlos Daniel Acosta-Medina, Andrés Marino Álvarez-Meza
Publikováno v:
Neurocomputing. 100:117-126
In this work, we analyze video data by learning both the spatial and temporal relationships among frames. For this purpose, the nonlinear dimensionality reduction algorithm, Laplacian Eigenmaps, is improved using a multiple kernel learning framework,